Evidence map›Paper›PMID 38418635›Full record

ArticleMikrochimica acta2024

A smartphone-based colorimetric assay using Cu-tannic acid nanosheets (Cu-TA NShs) as a laccase-mimicking nanozyme for visual detection of quercetin in vegetables.

Kowsar Davoodi-Rad, Ardeshir Shokrollahi, Faezeh Shahdost-Fard, Kamal Azadkish, Elham Madani-Nejad

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In one paragraph

Article in Mikrochimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Kowsar Davoodi-RadChemistry Department, Yasouj University, P.O. Box, Yasouj, 75918-74831, Iran.
Ardeshir ShokrollahiChemistry Department, Yasouj University, P.O. Box, Yasouj, 75918-74831, Iran. ashokrollahi@yu.ac.ir.
Faezeh Shahdost-FardDepartment of Chemistry Education, Farhangian University, P.O. Box 14665-889, Tehran, Iran. F.Shahdost@gmail.com.ORCID http://orcid.org/0000-0003-0779-6534
Kamal AzadkishChemistry Department, Yasouj University, P.O. Box, Yasouj, 75918-74831, Iran.
Elham Madani-NejadChemistry Department, Yasouj University, P.O. Box, Yasouj, 75918-74831, Iran.
Yasouj University · IRShahed University · IR

Funding

Yasouj University 386104
6 · The paper itself

Abstract

The interaction of Cu-tannic acid nanosheets (Cu-TA NShs) as nanozyme in a surfactant solution of CTAB under relatively acidic conditions is shown to exhibit a catalytic effect on quercetin (Qur). This catalytic property of Cu-TA NShs, which mimics laccase enzyme with many advantages, has been applied to developing a selective colorimetric sensor for the determination of trace amounts of Qur in vegetable samples. This strategy presents a desirable linear relationship between the absorbance signal intensity and the concentrations of Qur from 0.350 to 32.09 µM with a detection limit (LOD) of 0.064 µM (S/N = 3). The feasibility of the proposed portable colorimetric sensor for in situ analysis of the real samples has been validated with the high-performance liquid chromatography (HPLC) method as reference method, and two-tailed test (t test) statistical analysis certifies good agreement between the results. This enzyme-free and sensitive naked-eye sensor with the smartphone-based color map is promising to provide technical support for the rapid and visual detection of Qur in vegetables.

Indexed as

ColorimetryPolyphenolsQuercetinLaccaseSmartphoneVegetablesLaccasePolyphenolsQuercetintannic acidColorimetric assayCopper tannic acid nanosheets (Cu-TA NShs)Laccase-mimicking nanozymeQuercetinSmartphoneVisual detection

Identifiers

PMID38418635
OpenAlexW4392292122

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.